{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "85c93311-84bc-4760-ac98-c9769e333b6c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "模拟订单数据条数： 1664\n",
      "   id internal_order_number online_order_number store_name  \\\n",
      "0   1           ION02966782          ON84889800        采购部   \n",
      "1   2           ION53627495          ON05003558        人力部   \n",
      "2   3           ION63999104          ON64458725        销售部   \n",
      "3   4           ION23224708          ON16688752        销售部   \n",
      "4   5           ION59032528          ON13603764        工程部   \n",
      "\n",
      "                   full_channel_user_id       shipping_date  \\\n",
      "0  c6e86149-9da7-45a3-9fbb-e4cfd189c49e 2021-10-05 04:12:00   \n",
      "1  7ed312fc-a85d-486f-9f35-e157431035cd 2021-11-26 10:48:00   \n",
      "2  837625f3-83a9-4d79-9baf-4408d34c9777 2021-11-20 19:17:00   \n",
      "3  a546ac90-9cf9-4457-9c3c-4229bbb27e0b 2021-12-03 23:00:00   \n",
      "4  5307522d-5dbb-48f7-b698-9d6afee8be56 2021-11-06 20:45:00   \n",
      "\n",
      "         payment_date  payable_amount  paid_amount status  ... platform  \\\n",
      "0 2021-09-30 04:12:00          298.50       312.64    已发货  ...       淘宝   \n",
      "1 2021-11-19 10:48:00         1716.21      1696.75    已完成  ...       京东   \n",
      "2 2021-11-20 19:17:00          827.32       834.90    已完成  ...       天猫   \n",
      "3 2021-11-27 23:00:00         1262.77      1244.60    待发货  ...       天猫   \n",
      "4 2021-11-06 20:45:00          402.29       386.32    已完成  ...       天猫   \n",
      "\n",
      "            sku quantity unit_price product_name color_and_spec  \\\n",
      "0  SKU-85440925        2     156.32         起来商品           黑色 M   \n",
      "1  SKU-42274607        5     339.35         教育商品           黑色 M   \n",
      "2  SKU-91832766        3     278.30         特别商品           红色 S   \n",
      "3  SKU-57382741        4     311.15         社区商品          灰色 均码   \n",
      "4  SKU-60644867        4      96.58         进入商品           黑色 M   \n",
      "\n",
      "  product_amount  original_price  is_gift refund_status  \n",
      "0         312.64          234.74        是         未申请退款  \n",
      "1        1696.75          388.93        否          成功退款  \n",
      "2         834.90          321.49        否         未申请退款  \n",
      "3        1244.60          402.96        是          成功退款  \n",
      "4         386.32          110.10        否          成功退款  \n",
      "\n",
      "[5 rows x 25 columns]\n",
      "\n",
      "汇总表：\n",
      "    部门   人数占比    占位1    占位2    占位3    占位4    占位5    占位6\n",
      "0  销售部  29.3%  29.3%  29.3%  29.3%  29.3%  29.3%  29.3%\n",
      "1  采购部  22.7%  22.7%  22.7%  22.7%  22.7%  22.7%  22.7%\n",
      "2  工程部  17.5%  17.5%  17.5%  17.5%  17.5%  17.5%  17.5%\n",
      "3  财务部  13.6%  13.6%  13.6%  13.6%  13.6%  13.6%  13.6%\n",
      "4  行政部  10.3%  10.3%  10.3%  10.3%  10.3%  10.3%  10.3%\n",
      "5  人力部   6.7%   6.7%   6.7%   6.7%   6.7%   6.7%   6.7%\n",
      "\n",
      "目标表：\n",
      "    部门   人数占比    占位1    占位2    占位3    占位4    占位5    占位6\n",
      "0  销售部  29.2%  29.2%  29.2%  29.2%  29.2%  29.2%  29.2%\n",
      "1  采购部  22.7%  22.7%  22.7%  22.7%  22.7%  22.7%  22.7%\n",
      "2  工程部  17.5%  17.5%  17.5%  17.5%  17.5%  17.5%  17.5%\n",
      "3  财务部  13.6%  13.6%  13.6%  13.6%  13.6%  13.6%  13.6%\n",
      "4  行政部  10.3%  10.3%  10.3%  10.3%  10.3%  10.3%  10.3%\n",
      "5  人力部   6.7%   6.7%   6.7%   6.7%   6.7%   6.7%   6.7%\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# -*- coding: utf-8 -*-\n",
    "\"\"\"\n",
    "基于给定 Schema 使用 Faker 生成模拟数据，\n",
    "并复刻“各部门人数分布”饼图（深色背景）。\n",
    "\"\"\"\n",
    "\n",
    "import random\n",
    "from datetime import datetime, timedelta\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from faker import Faker\n",
    "\n",
    "fake = Faker(\"zh_CN\")\n",
    "random.seed(42)\n",
    "np.random.seed(42)\n",
    "\n",
    "# ===================== 1. 生成模拟订单数据（erp_order） =====================\n",
    "\n",
    "def generate_erp_orders(n_rows: int = 1664) -> pd.DataFrame:\n",
    "    \"\"\"\n",
    "    这里只重点模拟 erp_order 表中在业务上比较关键、且后续会用到的字段。\n",
    "    其他字段若不影响逻辑，可简单填充或留空。\n",
    "    \"\"\"\n",
    "    departments = [\"销售部\", \"采购部\", \"工程部\", \"财务部\", \"行政部\", \"人力部\"]\n",
    "    # 希望部门人数 / 订单量比例与 Excel 表一致（百分比一位小数）\n",
    "    target_percent = [29.2, 22.7, 17.5, 13.6, 10.3, 6.7]\n",
    "\n",
    "    # 根据目标百分比计算每个部门的记录条数（四舍五入后总数为 1664）\n",
    "    counts = [int(round(p / 100 * n_rows)) for p in target_percent]\n",
    "    # 如果因为四舍五入有出入，这里进行微调\n",
    "    diff = n_rows - sum(counts)\n",
    "    # 把差值加到最大部门上，保证总条数精确等于 n_rows\n",
    "    if diff != 0:\n",
    "        max_idx = np.argmax(counts)\n",
    "        counts[max_idx] += diff\n",
    "\n",
    "    # 为每条记录分配“部门”（借用 erp_order.store_name 字段）\n",
    "    dept_list = []\n",
    "    for dept, c in zip(departments, counts):\n",
    "        dept_list.extend([dept] * c)\n",
    "    random.shuffle(dept_list)\n",
    "\n",
    "    rows = []\n",
    "    base_start = datetime(2021, 1, 1)\n",
    "    for i in range(n_rows):\n",
    "        order_time = base_start + timedelta(\n",
    "            days=random.randint(0, 364),\n",
    "            hours=random.randint(0, 23),\n",
    "            minutes=random.randint(0, 59),\n",
    "        )\n",
    "        payment_date = order_time + timedelta(\n",
    "            minutes=random.randint(5, 60 * 24)\n",
    "        )\n",
    "        shipping_date = payment_date + timedelta(\n",
    "            days=random.randint(0, 7)\n",
    "        )\n",
    "\n",
    "        quantity = random.randint(1, 5)\n",
    "        unit_price = round(random.uniform(50, 500), 2)\n",
    "        product_amount = round(quantity * unit_price, 2)\n",
    "\n",
    "        paid_amount = product_amount\n",
    "        payable_amount = product_amount + round(random.uniform(-20, 20), 2)\n",
    "\n",
    "        row = {\n",
    "            \"id\": i + 1,\n",
    "            \"internal_order_number\": fake.unique.bothify(text=\"ION########\"),\n",
    "            \"online_order_number\": fake.unique.bothify(text=\"ON########\"),\n",
    "            \"store_name\": dept_list[i],               # 这里当作“部门”\n",
    "            \"full_channel_user_id\": fake.uuid4(),\n",
    "            \"shipping_date\": shipping_date,\n",
    "            \"payment_date\": payment_date,\n",
    "            \"payable_amount\": payable_amount,\n",
    "            \"paid_amount\": paid_amount,\n",
    "            \"status\": random.choice([\"已发货\", \"已完成\", \"待发货\"]),\n",
    "            \"consignee\": fake.name(),\n",
    "            \"spu\": fake.bothify(text=\"SPU-####\"),\n",
    "            \"order_time\": order_time,\n",
    "            \"province\": fake.province(),\n",
    "            \"city\": fake.city_name(),\n",
    "            \"platform\": random.choice([\"天猫\", \"淘宝\", \"京东\", \"抖音\"]),\n",
    "            \"sku\": fake.bothify(text=\"SKU-########\"),\n",
    "            \"quantity\": quantity,\n",
    "            \"unit_price\": unit_price,\n",
    "            \"product_name\": fake.word() + \"商品\",\n",
    "            \"color_and_spec\": random.choice([\"红色 S\", \"黑色 M\", \"蓝色 L\", \"灰色 均码\"]),\n",
    "            \"product_amount\": product_amount,\n",
    "            \"original_price\": round(unit_price + random.uniform(10, 100), 2),\n",
    "            \"is_gift\": random.choice([\"是\", \"否\"]),\n",
    "            \"refund_status\": random.choice([\"未申请退款\", \"成功退款\", \"退款关闭\"]),\n",
    "        }\n",
    "        rows.append(row)\n",
    "\n",
    "    return pd.DataFrame(rows)\n",
    "\n",
    "\n",
    "df_erp = generate_erp_orders(1664)\n",
    "print(\"模拟订单数据条数：\", len(df_erp))\n",
    "print(df_erp.head())\n",
    "\n",
    "# ===================== 2. 统计“各部门人数占比”并构造目标表 =====================\n",
    "\n",
    "# 把 store_name 当作部门，统计每个部门人数（/记录数）\n",
    "group = df_erp.groupby(\"store_name\")[\"id\"].count().reset_index()\n",
    "group.rename(columns={\"store_name\": \"部门\", \"id\": \"人数\"}, inplace=True)\n",
    "\n",
    "total_people = group[\"人数\"].sum()\n",
    "group[\"人数占比\"] = group[\"人数\"] / total_people * 100\n",
    "group[\"人数占比\"] = group[\"人数占比\"].round(1)  # 一位小数\n",
    "\n",
    "# 按部门名称排序，保持和 Excel 一致\n",
    "order = [\"销售部\", \"采购部\", \"工程部\", \"财务部\", \"行政部\", \"人力部\"]\n",
    "group = group.set_index(\"部门\").loc[order].reset_index()\n",
    "\n",
    "# 构造最终展示 DataFrame：人数占比 + 占位1~占位6（内容相同）\n",
    "percent_str = group[\"人数占比\"].astype(str) + \"%\"\n",
    "summary = pd.DataFrame({\n",
    "    \"部门\": group[\"部门\"],\n",
    "    \"人数占比\": percent_str,\n",
    "})\n",
    "for i in range(1, 7):\n",
    "    summary[f\"占位{i}\"] = percent_str\n",
    "\n",
    "print(\"\\n汇总表：\")\n",
    "print(summary)\n",
    "\n",
    "# 这里也可以和“目标表”做一次硬校验（如果你愿意可以手动改目标表）\n",
    "summary_target = pd.DataFrame({\n",
    "    \"部门\": [\"销售部\", \"采购部\", \"工程部\", \"财务部\", \"行政部\", \"人力部\"],\n",
    "    \"人数占比\": [\"29.2%\", \"22.7%\", \"17.5%\", \"13.6%\", \"10.3%\", \"6.7%\"],\n",
    "})\n",
    "for i in range(1, 7):\n",
    "    summary_target[f\"占位{i}\"] = summary_target[\"人数占比\"]\n",
    "\n",
    "# 简单打印看一下，两表是否一致\n",
    "print(\"\\n目标表：\")\n",
    "print(summary_target)\n",
    "\n",
    "# 如果希望严格校验，可以解除下方注释：\n",
    "# import pandas as pd\n",
    "# pd.testing.assert_frame_equal(\n",
    "#     summary.reset_index(drop=True),\n",
    "#     summary_target.reset_index(drop=True)\n",
    "# )\n",
    "\n",
    "# ===================== 3. 画图：复刻 Excel 风格饼图 =====================\n",
    "\n",
    "plt.rcParams[\"font.sans-serif\"] = [\"SimHei\"]  # 显示中文\n",
    "plt.rcParams[\"axes.unicode_minus\"] = False    # 正常显示负号\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(10, 6), subplot_kw=dict(aspect=\"equal\"))\n",
    "\n",
    "# 深色背景\n",
    "fig.patch.set_facecolor(\"#101639\")\n",
    "ax.set_facecolor(\"#101639\")\n",
    "\n",
    "labels = summary[\"部门\"].tolist()\n",
    "sizes = [float(s.strip(\"%\")) for s in summary[\"人数占比\"]]\n",
    "\n",
    "# 配一组高饱和度的颜色（与 Excel 模板接近即可）\n",
    "colors = [\"#F45B7A\", \"#FFC857\", \"#00B8A9\", \"#0072B5\", \"#5DA5DA\", \"#8A4FFF\"]\n",
    "\n",
    "wedges, _ = ax.pie(\n",
    "    sizes,\n",
    "    colors=colors,\n",
    "    startangle=90,\n",
    "    wedgeprops=dict(width=1.0, edgecolor=\"#101639\")\n",
    ")\n",
    "\n",
    "# 标题 & 副标题\n",
    "title = \"2021年各部门人数分布\"\n",
    "subtitle = f\"公司总人数{total_people}，{summary.loc[0, '部门']}人数最多{group.loc[group['部门']==summary.loc[0,'部门'],'人数'].values[0]}，占比{summary.loc[0, '人数占比']}\"\n",
    "fig.text(0.5, 0.96, title, ha=\"center\", va=\"top\",\n",
    "         fontsize=24, color=\"white\", fontweight=\"bold\")\n",
    "fig.text(0.5, 0.90, subtitle, ha=\"center\", va=\"top\",\n",
    "         fontsize=14, color=\"white\")\n",
    "\n",
    "# 注释：外侧标签 + 引导线\n",
    "# 让标签分布在圆外侧，尽量模拟 Excel 的效果\n",
    "for i, (w, label, pct) in enumerate(zip(wedges, labels, sizes)):\n",
    "    ang = (w.theta2 + w.theta1) / 2.0\n",
    "    x = np.cos(np.deg2rad(ang))\n",
    "    y = np.sin(np.deg2rad(ang))\n",
    "\n",
    "    # 标签位置在圆外一点\n",
    "    rx, ry = 1.2 * x, 1.2 * y\n",
    "    ha = \"left\" if x >= 0 else \"right\"\n",
    "\n",
    "    ax.annotate(\n",
    "        f\"{label} {pct:.1f}%\",\n",
    "        xy=(x, y),\n",
    "        xytext=(rx, ry),\n",
    "        textcoords=\"data\",\n",
    "        ha=ha,\n",
    "        va=\"center\",\n",
    "        color=\"white\",\n",
    "        fontsize=10,\n",
    "        arrowprops=dict(arrowstyle=\"-\", color=colors[i], lw=1),\n",
    "    )\n",
    "\n",
    "# 左下角脚注\n",
    "fig.text(\n",
    "    0.02,\n",
    "    0.02,\n",
    "    \"＊注：数据来源于公司人力资源系统，统计日期截至2022.01.01\",\n",
    "    ha=\"left\",\n",
    "    va=\"bottom\",\n",
    "    fontsize=9,\n",
    "    color=\"white\",\n",
    ")\n",
    "\n",
    "plt.tight_layout(rect=[0, 0.05, 1, 0.9])\n",
    "plt.show()\n"
   ]
  },
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   "id": "5d1e003d-a02e-4780-856e-32c245e07188",
   "metadata": {},
   "outputs": [],
   "source": []
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